Software Engineer, AI Data
- USD 30,000 to 55,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
AI data engineering role building pipelines that feed model training; fully remote, no office.
About the role
The team builds large, low-cost datasets by mixing engineering, infrastructure and research, and needs someone who can chase new data sources and keep systems efficient.
At a glance
- Pay
- USD 30,000 to 55,000 per year
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- Python, Bash, Linux
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Discover audio data sources and build pipelines that bring them into training sets
- Improve large-scale processing systems for data quality, throughput and cost
- Work closely with AI scientists on datasets and next-generation models
- Own projects from problem discovery through implementation and steady improvement
What they look for
- A computer science degree or related field, or equivalent practical experience
- Five or more years of professional software engineering with strong backend skills
- Proficiency in Python and Bash on Linux
- Experience operating production systems, ideally data pipelines or large-scale processing
Benefits
- Competitive compensation, bonus and stock, with an asynchronous work culture
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job y4piyqugafQuestions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote with no single country named, so candidates from different countries can apply.
What does this job pay?
The posting states USD 30,000 to 55,000 per year.
What experience is needed?
It is a senior role. The posting asks for: a computer science degree or related field, or equivalent practical experience; five or more years of professional software engineering with strong backend skills; proficiency in Python and Bash on Linux. Skills it names include Python, Bash, Linux.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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